Forward Deployed Engineer · AI Engineer
I build and ship real-world AI systems — LLMs, agentic workflows, computer vision, and robotics — and work close to the problem: deploying, debugging, and hardening AI products in production. I also contribute fixes upstream to the open-source tools that power that work.
- taxcite — citation-grounded RAG over Indian income tax law, implementing all ten standard RAG architectural patterns plus three original ones over a shared retrieval substrate, evaluated against a hand-verified golden set.
- ai-incident-rag — citation-grounded RAG over real AI/LLM production incident postmortems, with hybrid retrieval, reranking, CI-gated generation quality, and prompt-injection guardrails on free-tier infra.
- fineai — full-stack platform for fine-tuning Cohere models on custom datasets, with real API integration and a training dashboard.
- pipeshub-ai/pipeshub-ai — fixed org signup returning HTTP 500 instead of 400 for validation errors (weak password, duplicate org, invalid domain)
- zed-industries/zed — fixed a multi-monitor DPI window-placement bug
- anthropics/claude-agent-sdk-python — fixed
ClaudeSDKClient.receive_response()returning before background agent work finishes - mlflow/mlflow — fixed a GenAI evaluation-dataset bug where a type mismatch broke Postgres tracking backends
- griptape-ai/griptape — fixed image/audio MIME-format corruption in the MCP tool integration (approved, pending merge)
- ggml-org/llama.cpp — fixed
completion_tokens/total_tokensundercount in the server whenn > 1 - home-assistant/core — added a missing device-state enum value to the NUT integration
- astral-sh/ruff — fixed a FURB103 lint false positive using type-inference analysis
- ollama/ollama — fixed a stray environment variable causing spurious 401 errors in the local LLM server
- excalidraw/excalidraw — removed obsolete contribution docs
LLMs Agents Computer Vision Robotics AEC Developer Tooling

